Very proud father of a very special girl, husband-in-training, and also CEO of Investments @AnimocaBrands and CEO of @TheSandboxGame.

London & Hong Kong
클로즈드 알파 & 베타 3.5개월 제품 릴리스 8회 게임잼 4회 크리에이터 100명+ 게임 100개+ 파트너 & 연동: Meshy, Scenario 외 추가 예정 오픈 테크 스택: Codex, Claude Code, Gemini 오픈 배포: 웹, 모바일, Telegram 등 10월 정식 출시. 사전 등록 → create.sandbox.game
3.5 months of closed alpha & beta on The Sandbox Studio - 8 product releases - 4 game jams - 100+ handpicked creators - 100+ games built - Partners & Integrations: Meshy, Scenario + more soon - Open tech stack: Codex, Claude Code, Gemini - Open distribution: web, mobile, Telegram... Public launch in October. Join the waitlist → create.sandbox.game
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3.5 months of closed alpha & beta on The Sandbox Studio - 8 product releases - 4 game jams - 100+ handpicked creators - 100+ games built - Partners & Integrations: Meshy, Scenario + more soon - Open tech stack: Codex, Claude Code, Gemini - Open distribution: web, mobile, Telegram... Public launch in October. Join the waitlist → create.sandbox.game
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Prime Minister @andyburnham Britain's crypto builders have a message for you. 🛡️
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Robby Yung ⦿⦿⦿ retweeted
"It's not the best technology that wins. It's a combination of...." One of the best takes on Web3 we've heard on our stage. @animocabrands CEO of investments @viewfromhk, BlockDown Portugal 2023. 🎟️ Get tickets to BlockDown Dubai now: blockdownfestival.com/#ticke…
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Congrats to @LeeOccleshaw, @the_bit_fox, and @RicardoDeZoete on winning the WTF? Game Jam! Please check out their creations below 👇 - they're really pushing Sandbox Studio to show what the tools can do.
The WTF? Jam winners are in, judged by @majornelson 🔥 1st Place goes to Meowmentum by @LeeOccleshaw 🥇 An endless runner packed with cat-related events and power-ups. Avoid the cucumbers. They are evil. 🥒 Play it studio.sandbox.game/play/7e3…
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Robby Yung ⦿⦿⦿ retweeted
🤖 Can AI make smaller game teams viable without locking them to one platform? Host @0xMZO speaks with @viewfromhk, CEO of @TheSandboxGame, about Sandbox Studio’s AI-native engine, its cross-platform ambitions, and why easier creation could make discovery the next bottleneck.
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Robby Yung ⦿⦿⦿ retweeted
Just In: SEC Approves Innovation Exemption for Tokenized U.S. Stocks to Trade via Onchain AMMs The U.S. Securities and Exchange Commission (SEC) announced that it has officially approved a temporary, conditional exemptive framework (the "Innovation Exemption") to allow limited pilot trading of tokenized National Market System (NMS) stocks on specific onchain platforms known as Tokenized Securities Venues (TSVs). The exemption provides temporary regulatory relief to TSVs, ensuring they are not immediately classified as "exchanges" under the Securities Exchange Act of 1934 when offering tokenized equities through permissioned automated market makers (AMMs) and liquidity pools, while also establishing clear guidelines for liquidity providers deploying proprietary capital for market-making support.
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This is very interesting, and echoes several conversations I’ve had recently.
Researchers at Oxford argue that LLMs can't invent anything. It's impossible mathematically. The paper is called "Theory Is All You Need." Teppo Felin and Matthias Holweg take the famous "Attention Is All You Need" title and flip it. Their argument is that AI predicts from the past, while humans reason forward into the future, and those are two different kinds of thinking. Start with the numbers. The authors estimate a large language model trains on roughly 13 trillion tokens. A human reading at 150 words a minute would need about 164,000 years to get through that. A child hears around 20,000 words a day and roughly 36.5 million words in their first five years. It's the same task with wildly different data, and the child still ends up with language that goes far beyond anything they heard. Their point is that the model learns which words tend to follow other words. It becomes a mirror of what people have already written. It doesn't build a theory of how the world works, so it can't step outside its training data. The paper's sharpest thought experiment makes this painful. Imagine an LLM trained in 1633 on every scientific text ever written up to that point. Ask it about Galileo and heliocentrism. Thousands of years of geocentric texts would swamp Galileo's ideas, so the model would tell you he's wrong. It would also rate Tycho Brahe's astrology as more credible than the idea that the Earth moves, because more people had written about astrology. Then there's flight. In 1888 the scientist Joseph LeConte looked at bird data, noted that no bird above 50 pounds could fly, and concluded humans couldn't either. Lord Kelvin, then president of the Royal Society, said he had not the smallest molecule of faith in aerial navigation. The New York Times estimated in 1903 that flight was one to ten million years away. Nine weeks later the Wright brothers flew. The Wrights didn't have better data. They had a theory. They broke flight into three problems, lift, propulsion, and steering, built their own wind tunnels, and generated the data that didn't exist yet. Wilbur wrote in 1900 that he had been "afflicted with the belief that flight is possible to man." Every prediction machine on Earth would have told him no. The authors call this the data belief asymmetry. Every real breakthrough starts with someone believing something the existing data says is wrong. A system trained to minimize surprise can't do that by design. They're not anti AI. They say AI will win at routine, repetitive decisions that extrapolate from the past, which is most decisions. They're just pushing back on the idea that you should replace humans with algorithms whenever possible, which is a direct quote from Kahneman. I use these models every day and this matches what I see. The new stuff comes from the human at the keyboard who decides the data is wrong. LLMs don't think, you do!
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Great to see so many builders and financial institutions come out for @EBlockchainCon in Barcelona. Kudos to Patrick for reigning in the chaos as our fearless moderator!
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This is awesome! As you can see below, Ricardo has been building something really special with Sandbox Studio — text prompts to live multiplayer games in hours, built on learnings from 400+ studios and 300,000+ voxel assets. For more information, check out 👉 sandbox.game @TheSandboxGame
TERRA RIFT is out! 🦖💥 Break the world. Own the fight. My @TheSandboxGame Game Jam entry is officially submitted! Destroy the terrain. Open rifts. Create new attack routes. Upgrade your weapons. Ride dinosaurs into battle. This project got slightly out of hand… 😅 and I loved building every bit of it. 🎮 PLAY studio.sandbox.game/play/542… Built with Sandbox Studio + @threejs @TSBCreators
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Had a great day at the inaugural RegSymp conference discussing everything from institutional blockchain adoption to agentic commerce and regulatory minutiae.
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Thanks to Desmond and the team at @AntlerGlobal for the invitation - I particularly loved getting a chance to hear the ever insightful @BenEvans in person for the first time.
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Robby Yung ⦿⦿⦿ retweeted
"Distribution is nothing without good content." In the latest episode of #SignalZero, our host Bozena Rezab @anestetica sat down with Robby Yung (@viewfromhk) to settle the content vs. distribution debate. Bad content still finds an audience if the distribution is strong enough. But nothing beats good content with real reach behind it. Follow @GAMEEToken to catch the next episode of Signal Zero live!
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The scarcest thing in the creator economy has never been ideas — it's the distance between having one and having something people can actually play. I recorded a podcast with @anestetica and we kept circling back to that gap. For most of the time I've been in games, closing it meant a team, a budget, and the better part of a year. @TheSandboxGame Studio, which we announced in June, is our attempt to close it in an afternoon. You describe the game you want, and you get a live multiplayer prototype running in the browser in hours rather than months — built on the learnings of 400+ game studios, 1,000+ released games, and feedback from millions of players, with a library of over 300,000 voxel assets and SAND wired in for purchases, subscriptions, and developer transactions. None of which makes a game good, of course. It just means the only expensive part left is the idea, which is exactly where creators should be spending their time. Alpha Creators is open now, with public access in Q4. If you've had a game in your head for years and never had the year to build it, I'd love for you to take a look.
Signal Zero | Ep. 4: Creator Built The Internet. Why Don't They Own It W/ @viewfromhk x.lingyaoai.com/i/broadcasts/1pJkOXAvW…
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Heading to @PwC_UK and the sunset view of @TowerBridge from the side alley is pretty impressive.
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It was so great to chat with you @anestetica! I feel like we could chat about the creator economy all day 😂
Signal Zero | Ep. 4: Creator Built The Internet. Why Don't They Own It W/ @viewfromhk x.lingyaoai.com/i/broadcasts/1pJkOXAvW…
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Robby Yung ⦿⦿⦿ retweeted
🎙️ Signal Zero | Tuesday, 12 PM UTC What does creator ownership actually look like when you move beyond the slogans? GAMEE Co-Founder @anestetica will be discussing this (and more!) with @viewfromhk – CEO of @TheSandboxGame and CEO of Investments at @animocabrands. ⚡️ Join us live here on @GAMEEToken. 𝟷𝟸 ᴘᴍ ᴜᴛᴄ | 𝟾 ᴀᴍ ᴇᴛ | 𝟾 ᴘᴍ ʜᴋᴛ | 𝟷 ᴘᴍ ʙsᴛ
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Robby Yung ⦿⦿⦿ retweeted
⚡️ Signal Zero | Creators Built the Internet. So Why Don't They Own It? You did the work, built the audience, made the content. But the platform still owns the relationship and takes the cut – 99% of creators earn almost nothing. What if there were a different model? One where creators actually own what they make. 💰 Join us live as we explore this topic on Tuesday September 8th at 12pm UTC - with GAMEE Co-Founder Bozena Rezab (@anestetica) and special guest Robby Yung (@viewfromhk), CEO of @TheSandboxGame, and CEO of Investments at @animocabrands.
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